AAAI 2023 accepted papers on Label-efficient and robust learning
345 of the 2,023 papers accepted at AAAI 2023 (17.1%) are on Label-efficient and robust learning, compared with 15.2% at AAAI 2022. They fall into 9 topics.
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Topics and papers
Recognition and long-tail · 186 papers
- Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification (187 citations)
- Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation (179 citations)
- FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction (99 citations)
- Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations (88 citations)
- DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification (75 citations)
- DC-Former: Diverse and Compact Transformer for Person Re-identification (72 citations)
- Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers (70 citations)
- Hierarchical Contrast for Unsupervised Skeleton-Based Action Representation Learning (63 citations)
- TopicFM: Robust and Interpretable Topic-Assisted Feature Matching (62 citations)
- MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification (61 citations)
- BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization (55 citations)
- Towards Voice Reconstruction from EEG during Imagined Speech (54 citations)
and 174 more in the interactive map.
Domain adaptation and generalization · 44 papers
- Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation (108 citations)
- Domain-General Crowd Counting in Unseen Scenarios (44 citations)
- SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition (41 citations)
- Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment (41 citations)
- Cyclically Disentangled Feature Translation for Face Anti-spoofing (33 citations)
- CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection (29 citations)
- Learning a Generalized Gaze Estimator from Gaze-Consistent Feature (27 citations)
- Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention (27 citations)
- Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval (24 citations)
- Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning (24 citations)
- Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation (21 citations)
- REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation (20 citations)
and 32 more in the interactive map.
Self-supervised and contrastive · 29 papers
- Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction (279 citations)
- Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation (121 citations)
- Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations (68 citations)
- Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis (46 citations)
- Self-Supervised Primal-Dual Learning for Constrained Optimization (38 citations)
- Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement (35 citations)
- The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training (27 citations)
- ConTextual Masked Auto-Encoder for Dense Passage Retrieval (26 citations)
- ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning (25 citations)
- See Your Emotion from Gait Using Unlabeled Skeleton Data (24 citations)
- ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation (15 citations)
- Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network (14 citations)
and 17 more in the interactive map.
Zero-/few-shot and meta-learning · 27 papers
- Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification (71 citations)
- Universal Information Extraction as Unified Semantic Matching (57 citations)
- RankDNN: Learning to Rank for Few-Shot Learning (28 citations)
- Compositional Prototypical Networks for Few-Shot Classification (20 citations)
- Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt (17 citations)
- Leveraging Sub-class Discimination for Compositional Zero-Shot Learning (15 citations)
- Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval (13 citations)
- Boosting Few-Shot Text Classification via Distribution Estimation (12 citations)
- CMVAE: Causal Meta VAE for Unsupervised Meta-Learning (11 citations)
- Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification (11 citations)
- Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams (10 citations)
- Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling (9 citations)
and 15 more in the interactive map.
Knowledge distillation · 20 papers
- Curriculum Temperature for Knowledge Distillation (229 citations)
- Semi-attention Partition for Occluded Person Re-identification (44 citations)
- IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings (25 citations)
- Cross-Modal Distillation for Speaker Recognition (21 citations)
- Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble (15 citations)
- Grouped Knowledge Distillation for Deep Face Recognition (15 citations)
- Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation (14 citations)
- SKDBERT: Compressing BERT via Stochastic Knowledge Distillation (14 citations)
- ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition (11 citations)
- Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking (9 citations)
- Learning to Imagine: Distillation-Based Interactive Context Exploitation for Dialogue State Tracking (8 citations)
- Learn More for Food Recognition via Progressive Self-Distillation (7 citations)
and 8 more in the interactive map.
OOD and anomaly detection · 16 papers
- Mean-Shifted Contrastive Loss for Anomaly Detection (88 citations)
- Out-of-Distribution Detection Is Not All You Need (36 citations)
- One-for-All: Proposal Masked Cross-Class Anomaly Detection (31 citations)
- Improving Training and Inference of Face Recognition Models via Random Temperature Scaling (11 citations)
- READ: Aggregating Reconstruction Error into Out-of-Distribution Detection (10 citations)
- Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction (7 citations)
- On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization (7 citations)
- Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection (6 citations)
- Certifiable Out-of-Distribution Generalization (5 citations)
- Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection (4 citations)
- Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks (3 citations)
- Towards In-Distribution Compatible Out-of-Distribution Detection (3 citations)
and 4 more in the interactive map.
Noisy labels · 11 papers
- ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels (31 citations)
- Neighborhood-Regularized Self-Training for Learning with Few Labels (13 citations)
- Class-Independent Regularization for Learning with Noisy Labels (10 citations)
- USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning (8 citations)
- Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise (7 citations)
- Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features (5 citations)
- A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving (4 citations)
- Rethinking Label Refurbishment: Model Robustness under Label Noise (2 citations)
- Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels (1 citation)
- STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations
- A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise
Semi-supervised learning · 11 papers
- Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks (35 citations)
- Online Semi-supervised Learning with Mix-Typed Streaming Features (34 citations)
- Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint (20 citations)
- Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations (16 citations)
- Learning with Partial Labels from Semi-supervised Perspective (13 citations)
- Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction (2 citations)
- I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs (2 citations)
- Semi-supervised Learning with Support Isolation by Small-Paced Self-Training (2 citations)
- An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data (1 citation)
- Leveraging Structure for Improved Classification of Grouped Biased Data (1 citation)
- Semi-supervised Review-Aware Rating Regression (Student Abstract)